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Electrical Engineering
Erschienen in: Electrical Engineering 1/2020

25.11.2019 | Original Paper

ANFIS current–voltage controlled MPPT algorithm for solar powered brushless DC motor based water pump

verfasst von: A. Alice Hepzibah, K. Premkumar

Erschienen in: Electrical Engineering | Ausgabe 1/2020

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Abstract

In this paper, adaptive neuro-fuzzy inference system and proportional integral controller-based maximum power point tracking algorithm are presented for solar powered brushless DC motor for water pumping application. Adaptive neuro-fuzzy inference with PI controller provides control gain to maximum power point tracker. It adjusts the duty cycle of the zeta converter for extracting maximum power from solar PV array. The performance of proposed controller is compared with the conventional perturb and observe method, fuzzy perturb and observe method and incremental conductance method. Simulation studies are carried out in MATLAB. The experimental verification is shown to prove the suitability and feasibility of the proposed controller. The results reveal that the adaptive fuzzy inference system with PI controller quickly tracks maximum power from solar PV array under different irradiance.
Vorheriger Artikel Open-circuit fault-tolerance in multilevel inverters with reduced component count
Nächster Artikel A hybrid short-term load forecasting model developed by factor and feature selection algorithms using improved grasshopper optimization algorithm and principal component analysis

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Metadaten
Titel
ANFIS current–voltage controlled MPPT algorithm for solar powered brushless DC motor based water pump
verfasst von
A. Alice Hepzibah
K. Premkumar
Publikationsdatum
25.11.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 1/2020
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-019-00885-8

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